Oxford Brookes Vision Group Oxford Brookes Vision Group

Publications

[ 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 ]

 
2013 Top

  • Vibhav Vineet, C. Rother, Philip H.S. Torr, Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation, Neural Information Processing System (NIPS), 2013 (paper).
    Publication

  • Michael Sapienza, Fabio Cuzzolin, Philip H.S. Torr, Learning discriminative space-time action parts from weakly labelled videos, International Journal of Computer Vision, 2013 (journal).
    Publication

  • Fabio Cuzzolin, Michael Sapienza, Learning pullback HMM distances, IEEE Trans Pattern Analysis and Machine Intelligence, 2013 (journal).
    Publication

  • Wen-Yan Lin, Ming-Ming Cheng, Shuai Kyle Zheng, Jiangbo Lu, Nigel Crook, Non-Parametric Correspondence Fitting, IEEE International Conference on Computer Vision (IEEE ICCV), 2013 (poster).
     

  • Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Kyle Zheng, Vibhav Vineet, Nigel Crook, Efficient Salient Region Detection with Soft Image Abstraction, IEEE International Conference on Computer Vision (IEEE ICCV), 2013 (poster).
    Publication

  • Ming-Ming Cheng, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu, SalientShape: Group Saliency in Image Collections, The Visual Computer, 2013 (journal).
    Publication

  • Glenn Sheasby, Beyond Controllers - Human Segmentation, Pose, and Depth Estimation as Game Input Mechanisms, Oxford Brookes University, March 2013, 2013 (Phd. Thesis).
    Publication

  • Natasha Govender, Jonathan Warrell, Philip H.S. Torr, Fred Nicolls, Probabilistic Object and Viewpoint Models for Active Object Recognition, In Proceedings of Africon, 2013 (oral).
    Publication

  • Natasha Govender, Jonathan Claassens, Philip H.S. Torr, Jonathan Warrell, Active Object Recognition using Vocabulary Trees, In Proceedings of Workshop on Robot Vision, Florida, 2013 (oral).
    Publication

  • Vibhav Vineet, Glenn Sheasby, Jonathan Warrell, Philip H.S. Torr, PoseField: An Efficient Mean-field based Method for Joint Estimation of Human Pose, Segmentation, and Depth, In Proceedings of International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), (first two authors share joint first authorship), 2013 (oral).
    Publication

  • Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H.S. Torr, Inference Methods for CRFs with Co-occurrence Statistics, International Journal of Computer Vision, 2013 (journal).
    Publication

  • Samuel Schulter, Paul Wohlhart, Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof, Alternating Decision Forests, In Proceedings of Computer Vision and Pattern Recognition (CVPR), 2013 (poster).
    Publication

  • Lubor Ladicky, Philip H.S. Torr, Andrew Zisserman, Human Pose Estimation using a Joint Pixel-wise and Part-wise Formulation, In Proceedings of Computer Vision and Pattern Recognition (CVPR), 2013 (poster).
    Publication

  • Julien Valentin, Sunando Sengupta, Jonathan Warrell, A. Shahrokni, Philip H.S. Torr, Mesh Based Semantic Modelling for Indoor and Outdoor Scenes, In Proceedings of Computer Vision and Pattern Recognition (CVPR), 2013 (poster).
    Publication

  • Shuai Kyle Zheng, Paul Sturgess, Philip H.S. Torr, Approximate Structured Output Learning for Constrained Local Models with Application to Real-time Facial Feature Detection and Tracking on Low-power Devices, In Proceedings of IEEE Conference on Automatic Face and Gesture Recognition (FG), 2013 (poster).

  • Sunando Sengupta, Eric Greveson, A. Shahrokni, Philip H.S. Torr, Urban 3D Semantic Modelling Using Stereo Vision, In Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 2013 (oral).
    Publication
     
    2012 Top

  • Glenn Sheasby, Julien Valentin, Nigel Crook, Philip H.S. Torr, A robust stereo prior for human segmentation, In Proceedings of Asian Conference on Computer Vision (ACCV), 2012 (poster).
    Publication

  • Paul Sturgess, Lubor Ladicky, Nigel Crook, Philip H.S. Torr, Scalable Cascade Inference for Semantic Image Segmentation, In Proceedings of British Machine Vision Conference (BMVC), 2012 (poster).
    poster | Publication

  • Glenn Sheasby, Jonathan Warrell, Yuhang Zhang, Nigel Crook, Philip H.S. Torr, Simultaneous Human Segmentation, Depth and Pose Estimation via Dual Decomposition, In Proceedings of the workshop of British Machine Vision Conference (BMVC), 2012 (oral, best workshop paper award recipient).
    Publication

  • Lubor Ladicky, Philip H.S. Torr, Andrew Zisserman, Latent SVMs for Human Detection with a Locally Affine Deformation Field, In Proceedings of British Machine Vision Conference (BMVC), 2012 (oral).
    Publication

  • A. Mittal, Matthew B. Blaschko, Andrew Zisserman, Philip H.S. Torr, Taxonomic Multi-class Prediction and Person Layout using Efficient Structured Ranking, In Proceedings of European Conference on Computer Vision, 2012 (poster).
    Publication

  • Michael Sapienza, Fabio Cuzzolin, Philip H.S. Torr, Learning discriminative space-time actions from weakly labelled videos, In the Proceedings British Machine Vision Conference (BMVC), 2012 (oral).
    Publication

  • Vibhav Vineet, Jonathan Warrell, Paul Sturgess, Philip H.S. Torr, Improved Initialisation and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference, In the Proceedings British Machine Vision Conference (BMVC), 2012 (oral).
    Publication

  • Vibhav Vineet, Jonathan Warrell, Philip H.S. Torr, Filter-based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces, In the Proceedings of the European Conference on Computer Vision, 2012 (oral).
    Publication

  • Sunando Sengupta, Paul Sturgess, Lubor Ladicky, Philip H.S. Torr, Automatic Dense Visual Semantic Mapping from Street-Level Imagery, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2012 (oral).
    Publication

  • Sam Hare, Amir Saffari, Philip H.S. Torr, Efficient Online Structured Output Learning for Keypoint-Based Object Tracking, In the Proceedings IEEE Conference of Computer Vision and Pattern Recognition (CVPR), 2012 (poster).
    Publication

  • Vibhav Vineet, Jonathan Warrell, Philip H.S. Torr, A Tiered Move-making Algorithm for General Pairwise MRF.s, In the Proceedings IEEE Conference of Computer Vision and Pattern Recognition (CVPR), 2012 (poster).
    Publication

  • Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel Crook, Philip H.S. Torr, Efficient Discriminative Learning of Parametric Nearest Neighbor Classifiers, In the Proceedings IEEE Conference of Computer Vision and Pattern Recognition (CVPR), 2012 (poster).
    Publication

  • Gregory Rogez, Jon Rihan, Carlos Orrite, Philip H.S. Torr, Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors, Proceedings International Journal of Computer Vision, 2012
    Publication
     
    2011 Top

  • Lubor Ladicky, Global Structured Models towards Scene Understanding, Oxford Brookes University, April 2011, Phd Thesis
    Publication

  • Chris Russell, Higher-Order Inference for Vision Problems, Oxford Brookes University, July 2011, Phd. Thesis
    Publication

  • Srikumar Ramalingam, Chris Russell, Lubor Ladicky, Philip H.S. Torr, Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions, Computing Research Repository
    Publication

  • Ziming Zhang, Lubor Ladicky, Philip H.S. Torr, Amir Saffari, Learning Anchor Planes for Classification, NIPS, 2011 (poster).
    Publication

  • Christian Leistner, Marting Godec, Samuel Schulter, Amir Saffari, Manuel Werlberger, Horst Bischof, Improving Classifiers with Unlabeled Weakly-Related Videos, Proceedings CVPR, 2011 (poster).
    Publication

  • Isabelle Guyon, Gavin Cawley, Gideon Dror, Amir Saffari, Hands-On Pattern Recognition Challenges in Machine Learning, Volume 1, Microtome Publishing,Brookline, Massachusetts, 2011 (Book).
    Publication

  • S. Ramalingham, S. Bouaziz, P. Sturm, Philip H.S. Torr, The Light-Path Less Traveled, Proceedings IEEE Conference of Computer Vision and Pattern Recognition, 2011 (poster).
    Publication

  • A. Mittal, Andrew Zisserman, Philip H.S. Torr, Hand detection using multiple proposals, Proceedings British Machine Vision Conference, 2011 (poster, Best Poster award recipient).
    poster | Publication

  • Vibhav Vineet, Jonathan Warrell, Philip H.S. Torr, Human Instance Segmentation from Video using Detector-based Conditional Random Fields, Proceedings British Machine Vision Conference, 2011 (poster).
    Publication

  • Jonathan Warrell, Philip H.S. Torr, Locally Multiple-Instance Learning with Structured Bag Models, Proceedings Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2011 (oral).
    Publication

  • Sam Hare, Amir Saffari, Philip H.S. Torr, Struck: Structured Output Tracking with Kernels, Proceedings International Conference on Computer Vision (ICCV), 2011 (poster).
    Code | Publication

  • Lubor Ladicky, Philip H.S. Torr, Locally Linear Support Vector Machines, Proceedings International Conference of Machine Learning (ICML), 2011 (oral).
    Code | Publication

  • Ziming Zhang, Jonathan Warrell, Philip H.S. Torr, Proposal Generation for Object Detection using Cascaded Ranking SVMs, Proceedings IEEE Conference on Computer Vision and Pattern Recognition, 2011
    Code | Publication

  • Jon Rihan, Computer Vision Based Interfacess for Computer Games, PhD Thesis, Department of Computing, Oxford Brookes University, Jan, 2011
    Publication

  • Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H.S. Torr, Inference Methods for CRFs with Co-occurence Statistics, International Journal of Computer Vision, ECCV special award issue, 2011
    Publication

  • M Pawan Kumar, Philip H.S. Torr, Olga Veksler, Improved Moves for Truncated Convex Models, Journal of Machine Learning Research, 2011
    Code | Publication

  • Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William Clocksin, Philip H.S. Torr, Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction, International Journal of Computer Vision, BMVC special award issue, 2011
     
    2010 Top

  • Tom Shannon, Dynamic Surface Topography and its application to the evaluation of adolescent idiopathic scoliosis, PhD Thesis, Department of Computing, Oxford Brookes University, Oct, 2010
    Publication

  • Karteek Alahari, Efficient inference and learning for computer vision labelling problems, PhD Thesis, Department of Computing, Oxford Brookes University, July, 2010
    Publication

  • Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William Clocksin, Philip H.S. Torr, Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction, Proceedings British Machine Vision Conference, 2010 (oral, BMVA Best Science Paper Prize).

  • Jonathan Warrell, Simon Prince, Philip H.S. Torr, StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers, Proceedings British Machine Vision Conference, 2010 (oral).
    Publication

  • Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H.S. Torr, Exact and Approximate Inference in Associative Hierarchical Random Fields using Graph-Cuts, The 26th Conference on Uncertainty in Artificial Intelligence, 2010 (poster).
    Publication

  • Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H.S. Torr, Graph Cut based Inference with Co-occurrence Statistics, Proceedings of the Eleventh European Conference on Computer Vision, 2010 (oral, Best Paper Award at Conference).
    Publication

  • Lubor Ladicky, Paul Sturgess, Karteek Alahari, Chris Russell, Philip H.S. Torr, What,Where & How Many? Combining Object Detectors and CRFs, Proceedings of the Eleventh European Conference on Computer Vision, 2010 (oral).
    Publication

  • M Pawan Kumar, Philip H.S. Torr, Andrew Zisserman, OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues, Proceedings IEEE Trans Pattern Analysis and Machine Intelligence, Volume 32, Issue 3, pages 530-545, 2010
    Publication

  • Karteek Alahari, Chris Russell, Philip H.S. Torr, Efficient Piecewise Learning for Conditional Random Fields, Proceedings IEEE Conference of Computer Vision and Pattern Recognition, 2010 (poster).
    Publication

  • Fred Nicholls, Philip H.S. Torr, Discrete minimum ratio curves and surfaces, Proceedings IEEE Conference of Computer Vision and Pattern Recognition, 2010 (poster).
    Publication

  • Tom Shannon, The Quantification of Volumetric Asymmetry by Dynamic Surface Topography, International Research Society of Spinal Deformities Conference, Montreal, 1st-3rd July, 2010 (poster).
    Publication

  • Tom Shannon, Measurement of the Positional Variability of Surface Anatomical Landmarks over Time, International Research Society of Spinal Deformities Conference, Montreal, 1st-3rd July, 2010 (poster).
    Publication

  • Karteek Alahari, Pushmeet Kohli, Philip H.S. Torr, Dynamic Hybrid Algorithms for MAP Inference in Discrete MRFs, In Proceedings IEEE Trans Pattern Analysis and Machine Intelligence, Vol 32, no 10, pages 1846-1857, 2010
    Publication
     
    2009 Top

  • Carl Henrik Ek, Shared Gaussian Process Latent Variable Models, PhD Thesis, Department of Computing, Oxford Brookes University, 2009
    Publication

  • Anton van den Hengel, Anthony Dick, Thorsten Thormählen, Ben Ward, Philip H.S. Torr, US Patent Application 20090009513 - METHOD AND SYSTEM FOR GENERATING A 3D MODEL, 2009
    Publication

  • Paul Sturgess, Karteek Alahari, Lubor Ladicky, Philip H.S. Torr, Combining Appearance and Structure from Motion Features for Road Scene Understanding, Proceedings British Machine Vision Conference,, 2009 (oral).
    Publication

  • M Pawan Kumar, Philip H.S. Torr, Andrew Zisserman, Efficient Discriminative Learning of Parts-based Models, Proceedings IEEE Twelfth International Conference on Computer Vision, 2009 (poster).
    Publication

  • Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H.S. Torr, Associative Hierarchical CRFs for Object Class Image Segmentation, Proceedings IEEE Twelfth International Conference on Computer Vision, 2009 (poster).
    Publication

  • Pushmeet Kohli, Lubor Ladicky, Philip H.S. Torr, Robust Higher Order Potentials for Enforcing Label Consistency, In Proceedings of the International Journal of Computer Vision, Volume 82, Issue 3, pages 302-324, 2009
    Publication

  • M Pawan Kumar, V. Kolmogorov, Philip H.S. Torr, An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs, In Journal of Machine Learning Research (JMLR), Volume 10, pages 71-106, 2009
    Publication

  • O. Woodford, Philip H.S. Torr, I. Reid, A.W. Fitzgibbon, Global Stereo Reconstruction under Second Order Smoothness Priors, Proceedings IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 31, Issue 12, pages 2115-2128, 2009
    Publication

  • Fabio Cuzzolin, Multilinear modeling for robust identity recognition from gait, In 'Behavioral Biometrics for Human Identification: Intelligent Application', Liang Wang and Xin Geng (Eds.), IGI Publishing, 2009
    Publication
     
    2008 Top

  • A. Shekhovtsov, V. Kolmogorov, Pushmeet Kohli, V. Hlavac, C. Rother, Philip H.S. Torr, LP-relaxation of binarized energy minimization, Research Report CTU--CMP--200727, Czech Technical University, update 2008
    Publication

  • Yogarajah Pratheepan, Philip H.S. Torr, Joan Condell, M. Prasad, Body Language Based Individual Identification in Video Using Gait and Actions, In Proceedings of the International Machine Vision and Image Processing Conference
    Publication

  • A. Shahrokni, C. Mei, Philip H.S. Torr, I. Reid, From Visual Query to Visual Portrayal, In Proceedings of the British Machine Vision Conference (oral).
    Publication

  • Fabio Cuzzolin, Learning pullback metrics for linear models, In Proceedings of the first workshop on Machine Learning for Vision-based Motion Analysis - ECCV'08, Marseille, France, October 2008
    Publication

  • Diana Mateus, R. Horaud, David Knossow, Fabio Cuzzolin, Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration, Proceedings of CVPR'08, Anchorage, Alaska
    Publication

  • Fabio Cuzzolin, Diana Mateus, David Knossow, R. Horaud, Coherent Laplacian protrusion segmentation, Proceedings of CVPR'08, Anchorage, Alaska
    Publication

  • David A. Forsyth, Philip H.S. Torr, Andrew Zisserman, Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part I, II, III, IV. Lecture Notes in Computer Science 5302 Springer 2008, ISBN 978-3-540-88681-5, ISBN 978-3-540-88685-3, ISBN 978-3-540-88689-1, ISBN 978-3-540-88692-1
     

  • Carl Henrik Ek, Jon Rihan, Philip H.S. Torr, Gregory Rogez, N. Lawrence, Ambiguity Modeling in Latent Spaces, In Machine Learning for Multimodal Interaction, 2008
    Publication

  • G. Vogiatzis, Philip H.S. Torr, S.M. Seitz, R. Cipolla, Reconstructing Relief Surfaces, In Image and Vision Computing, 26(3): 397-404, 2008
    slides | Publication

  • M Pawan Kumar, Philip H.S. Torr, Andrew Zisserman, Learning Layered Motion Segmentations of Video, In International Journal of Computer Vision, 76, pages 301-319, 2008
    Publication

  • M Pawan Kumar, Philip H.S. Torr, Olga Veksler, Improved Moves for Truncated Convex Models, NIPS 22, Neural Information Processing Conference, 2008 (spotlight oral).
    Code | Publication

  • Pushmeet Kohli, M Pawan Kumar, Philip H.S. Torr, P3 & Beyond: Move Making Algorithms for Solving Higher Order Functions, In IEEE Trans Pattern Analysis and Machine Intelligence, Volume 31, Issue 9, Pages 1645-1656, 2008
    Publication

  • Pushmeet Kohli, Philip H.S. Torr, Measuring Uncertainty in Graph Cut Solutions, In Journal of Computer Vision and Image Understanding, special issue Discrete Optimization in Computer Vision, Volume 112, Issue 1, Pages 30-38, 2008
    Publication

  • A. Thayananthan, R. Navaratnam, B. Stenger, Pose Estimation and Tracking using Multivariate Regression, In Pattern Recognition Letters, Volume 29, Issue 9, 1, Pages 1302-1310, July 2008
    Publication

  • M Pawan Kumar, Philip H.S. Torr, Efficiently Solving Convex Relaxations for MAP Estimation, In Proceedings International Conference of Machine Learning (ICML), 2008 (oral).
    Publication

  • Pushmeet Kohli, A. Shekhovtsov, V. Kolmogorov, C. Rother, Philip H.S. Torr, On Partial Optimality in Multi-label MRFs, In Proceedings International Conference of Machine Learning (ICML), 2008 (oral).
    Publication

  • Srikumar Ramalingam, P. Sturm, Minimal Solutions for Generic Imaging Models, In Proceedings IEEE Conference of Computer Vision and Pattern Recognition, 2008 (poster).
    Publication

  • Pushmeet Kohli, Jon Rihan, Matthieu Bray, Philip H.S. Torr, Simultaneous Segmentation and Pose Estimation of Humans using Dynamic Graph Cuts, In International Journal of Computer Vision, Volume 79, Issue 3 pages 285-298, 2008
    Publication

  • Srikumar Ramalingam, Pushmeet Kohli, Karteek Alahari, Philip H.S. Torr, Exact Inference in Multi-label CRFs with Higher Order Cliques, In Proceedings IEEE Conference of Computer Vision and Pattern Recognition, 2008 (poster).
    Publication

  • Karteek Alahari, Pushmeet Kohli, Philip H.S. Torr, Reduce, Reuse & Recycle: Efficiently Solving Multi-Label MRFs, In Proceedings IEEE Conference of Computer Vision and Pattern Recognition, 2008 (poster).
    Publication

  • Gregory Rogez, Jon Rihan, Srikumar Ramalingam, Carlos Orrite, Philip H.S. Torr, Randomized Trees for Human Pose Detection, In Proceedings IEEE Conference of Computer Vision and Pattern Recognition, 2008 (poster).
    Publication

  • O. Woodford, Philip H.S. Torr, I. Reid, A.W. Fitzgibbon, Global Stereo Reconstruction under Second Order Smoothness Priors, In Proceedings IEEE Conference of Computer Vision and Pattern Recognition, 2008 (oral, Best paper at conference).
    Publication

  • Pushmeet Kohli, Lubor Ladicky, Philip H.S. Torr, Robust Higher Order Potentials for Enforcing Label Consistency, In Proceedings IEEE Conference of Computer Vision and Pattern Recognition, 2008 (oral).
    Publication

  • Tom Shannon, Development of an Apparatus to Evaluate Adolescent Idiopathic Scoliosis by Dynamic Surface Topography, In Proceedings of the International Research Society of Spinal Deformities Meeting, 2008 (oral).
    Publication

  • M Pawan Kumar, Philip H.S. Torr, Andrew Zisserman, Layered Motion Segmentations of Video, In International Journal of Computer Vision, 76, pages 301-319, 2008
    Publication


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    2007 Top

  • M Pawan Kumar, V. Kolmogorov, Philip H.S. Torr, An Analysis of Convex Relaxations for MAP Estimation, In Neural Information Processing Conference, NIPS, 2007, Oral and Honourable Mention at NIPS Conference. (oral).
    Publication

  • N. Komodakis, Philip H.S. Torr, V. Kolmogorov, Y. Boykov, Discrete Optimization in Computer Vision, Invited tutorial at Iternational Conference on Computer Vision, ICCV, Oct 2007
    Publication

  • Philip H.S. Torr, Graph Cuts and their Use in Computer Vision, Invited tutorial at International Computer Vision Summer School 2007, Detection, Recognition and Segmentation in Context, July 2007
    Publication

  • O. Woodford, I. Reid, Philip H.S. Torr, A.W. Fitzgibbon, On New View Synthesis Using Multiview Stereo, In Proceedings British Machine Vision Conference, 2007 (oral).
    Publication

  • Chris Russell, Christophe Restif, D. Metaxas, Philip H.S. Torr, Using the P^n Potts model with learning methods to segment live cell images, In IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, 2007 (oral).
    Publication

  • M Pawan Kumar, Philip H.S. Torr, Andrew Zisserman, An Invariant Large Margin Nearest Neighbour Classifier, In IEEE Eleventh International Conference on Computer Vision, 2007 (poster).
    Publication

  • Christophe Restif, Revisiting the Evaluation of Segmentation Results: Introducing Confidence Maps, International Conference on Medical Image Computing and Computer Assisted Intervention MICCAI, 2007 (poster).
    Publication

  • Anthony Dick, Thorsten Thormählen, Ben Ward, Philip H.S. Torr, VideoTrace: Rapid interactive scene modelling from video, In ACM Transactions on Graphics (SIGGRAPH special issue), Volume 26, Issue 3, 2007 (oral).
    Publication

  • Pushmeet Kohli, M Pawan Kumar, Philip H.S. Torr, P3 & Beyond: Solving Energies with Higher Order Cliques, In Proceedings IEEE Conference of Computer Vision and Pattern Recognition, 2007 (oral).
    Publication

  • Carl Henrik Ek, Philip H.S. Torr, N. Lawrence, Gaussian Process Latent Variable Models for Human Pose Estimation, In 4th Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms, 2007 (poster).
    Publication

  • G. Vogiatzis, C.H. Esteban, Philip H.S. Torr, R. Cipolla, Multi-view stereo via Volumetric Graph-cuts and Occlusion Robust Photo Consistency, In IEEE Trans Pattern Analysis and Machine Intelligence, (12): 2241-2246 2007
    Publication

  • B. Stenger, A. Thayananthan, Philip H.S. Torr, R. Cipolla, Estimating 3D hand pose using hierarchical multi-label classification, In Image and Vision Computing, 25(2), pages 1885-1894, 2007
    Publication

  • Pushmeet Kohli, Philip H.S. Torr, Dynamic Graph Cuts for Efficient Inference in Markov Random Fields, In IEEE Trans Pattern Analysis and Machine Intelligence, 2007
    Publication

  • A. Criminisi, J. Shotton, A. Blake, C. Rother, Philip H.S. Torr, Efficient Dense Stereo with Occlusions for New View Synthesis by Four State Dynamic Programming, In International Journal of Computer Vision, 71(1), pages 89-110, 2007
    Publication
     
    2006 Top

  • R. Horaud, C. Schnorr, Philip H.S. Torr, J. Tsostsos, International Workshop on the Representation and Use of Prior Knowledge in Vision, In International Workshop on the Representation and Use of Prior Knowledge in Vision (WRUPKV), Graz, 2006
    Publication

  • Anthony Dick, Thorsten Thormählen, Ben Ward, Philip H.S. Torr, Fitting multiple models to multiple images with minimal user interaction, In International Workshop on the Representation and Use of Prior Knowledge in Vision (WRUPKV), held in association with ECCV'06, Graz, Austria, May 2006
    Publication

  • Yunda Sun, Pushmeet Kohli, Matthieu Bray, Philip H.S. Torr, Using Strong Shape Priors for Stereo, In ICVGIP (2006), IAPR Best paper award at conference (oral).
    Publication

  • Jon Rihan, Pushmeet Kohli, Philip H.S. Torr, ObjCut for Face Detection, In ICVGIP (2006) (oral).
    Publication

  • M. Prasad, Andrew Zisserman, A.W. Fitzgibbon, M Pawan Kumar, Philip H.S. Torr, Learning Class-specific Edges for Object Detection and Segmentation, In ICVGIP (2006)
    Publication

  • M Pawan Kumar, Philip H.S. Torr, Andrew Zisserman, An Object Category Specific MRF for Segmentation, In Toward Category-Level Object Recognition, J. Ponce, M. Hebert, C. Schmid, and A. Zisserman (eds.), Springer-Verlag LNCS, pages 531-561, 2006
     

  • N. Nopsuwanchai, A. Biem, William Clocksin, Maximization of mutual information for offline Thai handwriting recognition, In IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(8)
     

  • Anthony Dick, Thorsten Thormählen, Ben Ward, Philip H.S. Torr, Hierarchical model fitting to 2D and 3D data, In Proceedings of the Third International Conference on Computer Graphics, Imaging and Visualisation, IEEE Computer Society Press, Sydney, Australia, July 2006
     

  • B. Stenger, A. Thayananthan, Philip H.S. Torr, R. Cipolla, Model-Based Hand Tracking Using a Hierarchical Bayesian Filter, In IEEE Trans Pattern Analysis and Machine Intelligence, vol. 28, no. 9, pp. 1372-1384, Sept., 2006
    Publication

  • M Pawan Kumar, Philip H.S. Torr, Andrew Zisserman, Solving Markov Random Fields Using Second Order Cone Programming, In Proceedings IEEE Conference of Computer Vision and Pattern Recognition, 2006 (poster).
     

  • Yunda Sun, Matthieu Bray, A. Thayananthan, B. Yuanand, Philip H.S. Torr, Regression-Based Human Motion Capture From Voxel Data, In Proceedings British Machine Vision Conference, 2006 (poster).
    Publication

  • O. Woodford, I. Reid, Philip H.S. Torr, A.W. Fitzgibbon, Fields of Experts for Image-based Rendering, In Proceedings British Machine Vision Conference, 2006 (poster).
    Publication

  • Anthony Dick, Thorsten Thormählen, Ben Ward, Philip H.S. Torr, Building Models of Regular Scenes from Structure and Motion, In Proceedings British Machine Vision Conference, 2006 (poster).
    Publication

  • Anthony Dick, Thorsten Thormählen, Ben Ward, Philip H.S. Torr, Rapid Interactive Modelling from Video with Graph Cuts, In Proceedings Eurographics, 2006
    Publication

  • Christophe Restif, Towards Safer, Faster Prenatal Genetic Tests: Novel Unsupervised, Automatic and Robust Methods of Segmentation of Nuclei and Probes, In the Proceedings of the Ninth European Conference on Computer Vision 2006 (poster).
    Publication

  • M Pawan Kumar, Philip H.S. Torr, Fast Memory-Efficient Generalized Belief Propagation, In the Proceedings of the Ninth European Conference on Computer Vision 2006 (poster).
    Publication

  • A. Thayananthan, R. Navaratnam, B. Stenger, Philip H.S. Torr, R. Cipolla, Multivariate Relevance Vector Machines for Tracking, In the Proceedings of the Ninth European Conference on Computer Vision 2006 (poster).
    Publication

  • Pushmeet Kohli, Philip H.S. Torr, Measuring Uncertainty in Graph Cut Solutions - Efficiently Computing Min-marginal Energies using Dynamic Graph Cuts, In the Proceedings of the Ninth European Conference on Computer Vision 2006 (oral).
    Publication

  • Matthieu Bray, Pushmeet Kohli, Philip H.S. Torr, PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans using Dynamic Graph-Cuts, In the Proceedings of the Ninth European Conference on Computer Vision 2006 (oral).
    Publication
     
    2005 Top

  • M Pawan Kumar, Philip H.S. Torr, Andrew Zisserman, Learning Layered Motion Segmentations of Video, In Proceedings of IEEE Tenth International Conference on Computer Vision 2005 (oral).
    Publication

  • Philip H.S. Torr, Markov Random Fields for Computer Vision and Graphics, Invited tutorial at Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI, 2005
     

  • J. Mollon, FRS, Philip H.S. Torr, Rank Mini Symposium on Machine Understanding of People and their Responses, 30th Jan-3rd Feb 2005
    Publication

  • William Clocksin, A.W. Fitzgibbon, Philip H.S. Torr, British Machine Vision Conference, In ISBN 1-901725-29-4, Oxford, 2005
    Publication

  • R. Cipolla, B. Stenger, A. Thayananthan, Philip H.S. Torr, Template-based hand detection and tracking, In Advanced Studies in Biometrics, M. Tistarelli, J. Bigun and E. Grosso, editors, 114-125, Springer, 2005
     

  • Pushmeet Kohli, Philip H.S. Torr, Efficiently Solving Dynamic Markov Random Fields Using Graph Cuts, In Proceedings of IEEE Tenth International Conference on Computer Vision 2005 (oral).
    Publication

  • R. Navaratnam, Philip H.S. Torr, R. Cipolla, Hierarchical Part-Based Human Body Pose Estimation, In Proceedings of British Machine Vision Conference, 2005. (oral). (oral).
    Publication

  • G. Vogiatzis, Philip H.S. Torr, R. Cipolla, Multi-view stereo via Volumetric Graph-cuts, In Proceedings of IEEE Conference of Computer Vision and Pattern Recognition, pages 391-398, 2005 (oral).
    Slides | Publication

  • M Pawan Kumar, Philip H.S. Torr, Andrew Zisserman, OBJCUT, In Proceedings of IEEE Conference of Computer Vision and Pattern Recognition, 2005 (oral).
    Slides | Publication

  • Jon Rihan, Philip H.S. Torr, An Exploration of the SIFT operator, Dissertation for MSc Computing degree, Oxford Brookes University, 2005
    Publication
     
    2004 Top

  • Christophe Restif, William Clocksin, Comparison of segmentation methods for cytometric assay, In Proceedings of the Medical Image Understanding and Analysis 2004 (poster).
    Publication

  • Philip H.S. Torr, Bayesian Methods in Computer Vision and Graphics, Keynote Talk for Prasa 15th Annual Symposium of the Pattern Recognition Association of South Africa, Cape Town 2004

  • Philip H.S. Torr, A.W. Fitzgibbon, Invariant Fitting of Two View Geometry or 'In Defiance of the eight point algorithm', In IEEE Trans Pattern Analysis and Machine Intelligence, 26(5), pages 648-651, 2004
    Publication

  • S. Romdhani, Philip H.S. Torr, B. Schölkopf, A. Blake, Efficient Face Detection by a Cascaded Reduced Support Vector Expansion, In Proceedings of the Royal Society Series A, 460(2501):3283-3297, Nov. 2004
    Publication

  • Anthony Dick, Philip H.S. Torr, R. Cipolla, Modelling and Interpretation of Architecture from Several Images, In International Journal of Computer Vision, 60(2), pages 111-134, 2004
    Publication

  • Philip H.S. Torr, A. Criminisi, Dense Stereo using Pivoted Dynamic Programming, In Image and Vision Computing, 22(10), pages 795-806, 2004
    Publication

  • Y. Boykov, Philip H.S. Torr, R. Zabih, Discrete Optimization Methods, Invited tutorial at Eighth European Conference on Computer Vision, 2004
     

  • M Pawan Kumar, Philip H.S. Torr, Andrew Zisserman, Learning Layered Pictorial Structures from Video, In proceedings of The Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), pages 158-163, 2004. IAPR Best paper award at conference
    Publication

  • G. Vogiatzis, Philip H.S. Torr, S.M. Seitz, R. Cipolla, Reconstructing Relief Surfaces, In Proceedings British Machine Vision Conference, pages 117-126, 2004
    slides | Publication

  • A. Thayananthan, R. Navaratnam, R. Cipolla, Likelihood Models for Template Matching, In Proceedings British Machine Vision Conference, pages 949-958, 2004
    Publication

  • M Pawan Kumar, Philip H.S. Torr, Andrew Zisserman, Detecting Articulated Objects Using Pictorial Structures, Proceedings British Machine VisionConference, pages 789-798, 2004
    Publication

  • A. Blake, C. Rother, M. Brown, P. Perez, Philip H.S. Torr, Interactive Image Segmentation Using an Adaptive GMMRF Model, In The Eighth European Conference on Computer Vision, pages 428-442, 2004
    Publication

  • B. Stenger, A. Thayananthan, Philip H.S. Torr, R. Cipolla, Hand Pose Estimation Using Hierarchical Detection, In International Workshop on Human-Computer Interaction, pages 105-116, 2004
    Publication

  • M Pawan Kumar, C.V. Jawahar, P.J. Narayanan, Geometric Structure Computations from Conics, In Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2004
    Publication
     
    2003 Top

  • A. Thayananthan, B. Stenger, Philip H.S. Torr, Shape Context and Chamfer Matching in Cluttered Scenes, In Conference of Computer Vision and Pattern Recognition, pages 127-133, 2003
    Publication

  • Philip H.S. Torr, Solving Markov Random Fields using Semi Definite Programming, In Ninth International Workshop on Artificial Intelligence and Statistics, 2003
    Publication

  • B. Stenger, A. Thayananthan, Philip H.S. Torr, R. Cipolla, Bayesian Tracking using Tree-Based Density Estimation, In IEEE Ninth International Conference on Computer Vision, pages 1063-1072, 2003
    Publication

  • J. Shotton, A. Criminisi, A. Blake, Philip H.S. Torr, Gaze Manipulation for One-to-one Teleconferencing, In IEEE Ninth International Conference on Computer Vision, pages 191-200, 2003
    Publication

  • Philip H.S. Torr, A.W. Fitzgibbon, Invariant Fitting of Two View Geometry or 'In Defiance of the eight point algorithm', In Proceedings British Machine Vision Conference, pages 83-92, 2003
    Publication

  • A. Thayananthan, B. Stenger, Philip H.S. Torr, R. Cipolla, Tracking Articulated Hand Motion using a Kinematic Prior, In Proceedings British Machine Vision Conference, pages 589-598, 2003
    Publication

  • G. Vogiatzis, Philip H.S. Torr, R. Cipolla, Bayesian Stochastic Mesh Optimization for 3D Reconstruction, In Proceedings British Machine Vision Conference, pages 711-718, 2003

  • R. Cipolla, B. Stenger, A. Thayananthan, Philip H.S. Torr, Modelling Articulated Hand Motion, R. Cipolla Invited Key Note Speech, for The Mathematics of Surfaces X, Leeds, 2003
    Publication

  • Philip H.S. Torr, Bayesian Methods in Graphics, Keynote Talk for GraphiCon 13th Int. Conf. of Computer Graphics and Vision, Moscow State University 2003

  • F. Dellaert, Philip H.S. Torr, S. B. Kang, R. Cipolla, First International Workshop on use of Higher Level Knowledge in Vision, ISBN 0-7695-2049-9, Nice, France, 2003

  • Philip H.S. Torr, C. Davidson, IMPSAC: A synthesis of importance sampling and random sample consensus, In IEEE Trans Pattern Analysis and Machine Intelligence, 25(3), pages 354-365, 2003
    Publication

  • Philip H.S. Torr, A. Criminisi, Dense Stereo using Pivoted Dynamic Programming, Vision, Technical newsletter of Society of Manufacturing Engineers (SME), Dearborn, Michigan, USA, 2003
     

  • D. Huttenlocher, Philip H.S. Torr, Efficient Algorithms for Matching. Short Course, Invited tutorial at Ninth International Conference on Computer Vision, 2003
    Publication